Magdalena Balazinska C OMPUTER S CIENCE & E NGINEERING -- U OF W ASHINGTON The Hidden Face of Cloud Data Management Magdalena Balazinska - University of Washington1

2 Data Management in the Cloud Problem 1: Fast Well defined research problems Pretty well defined research problems Poorly defined research problems Pb 2: Efficient (multitenant) Pb 3: Transformative (for developers and users) Three Types of Challenges

Pb 1: Fast Cloud Data Management Well-known challenges around all V’s – Volume, velocity, variety, etc. But: Need to incentivize and recognize translation of real-world use-cases into research problems – Description of application – Dataset(s) to use for testing solutions – List of current solutions and their performance – It’s too costly when everyone does it over and over again Magdalena Balazinska - University of Washington3

Pb2: Efficient Cloud Data Management Multitenancy problem for Cloud providers: – OLTP: Well defined problems (predict, pack, and migrate) – OLAP: Less well defined problems And what about service developers – Build services on top of existing Cloud resources – These services may have tenants of their own Challenges – Resource management in hierarchy of multitenant systems – Performance, elasticity, costs, SLAs Magdalena Balazinska - University of Washington4

Pb3: Transformative Cloud Data Mgmt New interface to data management – How should Cloud SLAs look like? How to avoid surprises? How to reason about Cloud costs and capabilities? – How to do all types of processing at the same time? Graphs, text, streams, etc. Interactive, batch, visual New levels of sharing across users and tenants – How to manage sharing of data and computation? – Data itself may have a price and/or a license agreement – How to support data discovery? quality assessment? Magdalena Balazinska - University of Washington5